Home » Computer » Mastering Numerical Computing with NumPy

Mastering Numerical Computing with NumPy

Book Name: Mastering Numerical Computing with NumPy
Author: Umit Mert Cakmak, Mert Cuhadaroglu
Publisher:
ISBN-10: 1788993357
Year: 2018
Pages: 354
Language: English
File size: 16.17 MB
File format: PDF

Mastering Numerical Computing with NumPy Pdf Book Description:

NumPy is among the most crucial scientific computing libraries offered for Python. Mastering Numerical Computing with NumPy educates you how you can attain professional degree competency to do complicated operations, with comprehensive coverage of innovative theories. Starting with NumPy’s arrays and functions, you may get accustomed to linear algebra concepts to do vector and matrix mathematics operations. Then you will proceed to working on realistic cases that will teach you how you can use NumPy data so as to research US real estate data and create a predictive model with simple and multiple linear regression methods.

As soon as you’ve to grips with the fundamentals, you may research unsupervised learning and clustering algorithms, followed by knowing how to write better NumPy code whilst retaining innovative concerns in mind. The book also shows the usage of various high performance numerical computing libraries and their connection with NumPy. You may learn how to benchmark the performance of various configurations and pick the most appropriate for the body.

DMCA Disclaimer: This site complies with DMCA Digital Copyright Laws. Please bear in mind that we do not own copyrights to these books. We’re sharing this material with our audience ONLY for educational purpose. We highly encourage our visitors to purchase original books from the respected publishers. If someone with copyrights wants us to remove this content, please contact us immediately. All books on the edubookpdf.com are free and NOT HOSTED ON OUR WEBSITE. If you feel that we have violated your copyrights, then please contact us immediately (click here).

Add a Comment

Your email address will not be published.